Abstract
In this paper we present the distributed event localization and tracking algorithm DELTA that solely depends on light measurements. Based on this information and the positions of the sensors, DELTA is able to track a moving person equipped with a flashlight by dynamically building groups and electing well located nodes as group leaders. Moreover, DELTA supports object localization. The gathered data is sent to a monitoring entity in a fixed network which can apply pattern recognition techniques to determine the legitimacy of the moving person. DELTA enables object tracking with minimal constraints on both sensor hardware and the moving object. We show the feasibility of the algorithm running on the limited hardware of an existing sensor platform.
The work presented in this paper was supported by the National Competence Center in Research on Mobile Information and Communication Systems (NCCR-MICS), a center supported by the Swiss National Science Foundation under grant number 5005-67322.
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References
Scatterweb: Sensor platform (2007), http://www.scatterweb.net
Langendoen, K., Reijers, N.: Distributed localization in wireless sensor networks: a quantitive comparison. Computer Networks 43(4), 499–518 (2003)
Simon, G., Balogh, G., Bap, G., Maróti, M., Kusy, B., Sallai, J., Lédeczi, Á., Nádas, A., Frampton, K.: Sensor network-based countersniper system. In: SenSys, Baltimore, Maryland, USA (November 2004)
Zou, Y., Chakrabarty, K.: Sensor deployment and target localization in distributed sensor networks. ACM Transactions on Embedded Computing Systems (TECS) 3(1), 61–91 (2004)
Kumar, M., Schwiebert, L., Brockmeyer, M.: Efficient data aggregation middleware for wireless sensor networks. In: IEEE International Conference on Mobile Ad-hoc and Sensor Systems, Fort Lauderdale, Florida, USA, October 25-27, 2004, pp. 1579–1581. IEEE Computer Society Press, Los Alamitos (2004)
Brooks, R.R., Ramanathan, P., Sayeed, A.M.: Distributed target classification and tracking in sensor networks. Proc. IEEE 91(8), 1163–1171 (2003)
Guha, S., Murty, R.N., Sirer, E.G.: Sextant: A unified node and event localization framework using non-convex constraints. In: MobiHoc’05, Urbana-Champaign, Illinois, USA, May 2005, pp. 205–216 (2005)
Abdelzaher, T., Blum, B., Evans, D., George, J., George, S., Gu, L., He, T., Huang, C., Nagaraddi, P., Son, S., Sorokin, P., Stankovic, J., Wood, A.: Envirotrack: Towards an environmental computing paradigm for distributed sensor networks. In: Proc. of 24th International Conference on Distributed Computing Systems (ICDCS), Tokyo, Japan (March 2004)
Luo, L., Abdelzaher, T.F., He, T., Stankovic, J.A.: Envirosuite: An environmentally immersive programming framework for sensor networks. ACM Transaction on Embedded Computing System (TECS) V, 1–31 (2006)
Li, D., Wong, K.D., Hu, Y.H., Sayeed, A.M.: Detection, classification and tracking of targets. IEEE Signal Processing Magazine 19(2), 17–29 (2002)
Capkun, S., Hamdi, M., Hubaux, J.P.: Gps-free positioning in mobile ad hoc networks. In: Proceedings of HICSS, January 2001, pp. 3481–3490 (2001)
Wälchli, M., Scheidegger, M., Braun, T.: Intensity-based event localization in wireless sensor networks. In: Proceedings of IFIP Third Annual Conference on Wireless On Demand Network Systems and Services (WONS’06), Les ménuires, France (January 2006)
Varga, A.: Omnet++ simulator (2006), http://www.omnetpp.org/
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Wälchli, M., Skoczylas, P., Meer, M., Braun, T. (2007). Distributed Event Localization and Tracking with Wireless Sensors. In: Boavida, F., Monteiro, E., Mascolo, S., Koucheryavy, Y. (eds) Wired/Wireless Internet Communications. WWIC 2007. Lecture Notes in Computer Science, vol 4517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72697-5_21
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DOI: https://doi.org/10.1007/978-3-540-72697-5_21
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